| name | cogpsych-submission |
| description | Use when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting, model-comparison completeness, reproducible model/analysis code, and the Elsevier research-data and competing-interest declarations. Final checks; it does not draft content. Verify volatile specifics on the official guide for authors. |
Submission Preflight (cogpsych-submission)
The last check before submitting through Elsevier Editorial Manager. Two things sink Cognitive
Psychology submissions most often: a wrong-shape contribution (single effect, no model/theory, or a
model that is never compared) and non-reproducible modeling (fits that can't be regenerated, no code
deposit). Verify volatile specifics (length, abstract limit, review model, current editor, declarations)
on the official guide for authors first (检索于 2026-06；以官网为准).
When to trigger
- "Submitting tomorrow" — last pass before upload
- Unsure what the scope, format, and declaration requirements demand
- Confirming the abstract, exhibits, model comparison, code deposit, and declarations are in order
Process facts (verify volatile items on the official page)
- Owner / publisher: Elsevier. (检索于 2026-06；以官网为准)
- Portal: Elsevier Editorial Manager (linked from the ScienceDirect guide for authors).
- Identity: a leading cognitive-science journal favoring longer, integrative, model-driven
articles; multi-experiment programs combined with formal/computational modeling.
- Scope: attention, perception, memory, learning, language, categorization, reasoning,
problem-solving, judgment and decision-making; modeling/neuroscientific approaches and substantive
reviews welcome.
- Style: APA-style statistical reporting and references; Elsevier formatting via the guide for
authors. Confirm the current reference style and any structured-abstract requirement.
- Open science: authors are strongly encouraged to share data, model/analysis code, and
materials; complete the Elsevier research-data statement and declaration of competing
interest.
- Review model / length / abstract limits: volatile — confirm single- vs. double-anonymized review,
any word/length guidance, and the abstract limit on the live page. 待核实.
Preflight checklist
Scope & shape
Front matter & format
Modeling & disclosure
Open science & declarations
Worked micro-example — preflight verdict (illustrative)
Running the recognition-memory program through the gate the night before upload:
Shape: 3 experiments + UVSD vs. DPSD comparison → theoretical advance → PASS
Model: both models fit (matched flexibility); dBIC + BF reported;
parameter + model recovery included → PASS
Hierarchy: hierarchical Bayesian; R-hat ~ 1.00, ESS adequate → PASS
Exhibits: z-ROC figure overlays observed data + both model curves; model-
comparison table with free-parameter counts → PASS
Open sci: data + model code + materials each have a DOI; fits regenerate
in a fresh session (run log attached) → PASS
Declarations: competing interest (none) + research-data statement + funding
completed in Editorial Manager → PASS
Verdict: ready to upload to Editorial Manager.
Last-mile failure modes that trigger a return
| Failure | Caught by | Quick fix |
|---|
| Model fit but never compared | scope/shape check | fit the rival; add the comparison table |
| Fits don't regenerate from code | reproducibility check | deposit seeded code + a fresh-session run log |
| Bars of means, no model overlay | exhibit check | redraw with observed data + model fit |
| "Data on request" instead of a DOI | open-science check | deposit and mint a persistent identifier |
| Competing-interest/data statement blank | declaration check | complete the Elsevier declarations before upload |
Volatile specifics (length guidance, abstract limit, review model, current editor, exact declarations)
change. Re-confirm every item above against the journal's current guide for authors before relying on
it (检索于 2026-06；以官网为准).
Anti-patterns
- Submitting a single-effect/atheoretical paper to a model-driven, long-form venue
- A central model that is fit but never compared to a rival
- Modeling that cannot be reproduced from the deposited code
- Exhibits that hide the fit (bars of means) or assert "best fit" with no table
- Missing Elsevier research-data / competing-interest declarations
Output format
【Shape】theoretical advance via a program; model fit + compared? [Y/N]
【Format】abstract + keywords + APA-style reporting + Elsevier formatting? [Y/N]
【Modeling】comparison + recovery + hierarchy + diagnostics? [Y/N]
【Open science】data + model code (reproducible) + materials + DOIs? [Y/N]
【Declarations】competing interest + research-data + funding? [Y/N]
【Next】await decision → cogpsych-rebuttal on revision
Supplementary resources
